1、 Purpose and Industry Background

1.1 Core Research Value
In visual inspection of visual labeling machines, the light source is the core element that determines the imaging quality. Research has shown that improper light source design can lead to over 70% of misjudgment cases. Reasonable selection and optimization can significantly improve detection accuracy and system stability, ultimately enhancing the accuracy and stability of visual labeling machines. Through scientific analysis of influencing factors, enterprises can:

• Improve defect recognition rate (up to a maximum increase of over 40%)
• Reduce equipment debugging time caused by uneven lighting (saving 30% -50%)
• Extend the lifespan of the light source (LED light source lifespan can reach 50000 hours)

1.2 Industry Pain Point Analysis
The 2024 White Paper on Industrial Visual Inspection shows that light source related faults account for 75% of total system failures, specifically manifested as:

• Color matching errorDue to the mismatch between the color temperature of the light source and the reflection characteristics of the target object, the features are lost
• Environmental light interference: Increased image noise caused by unshielded external light
• Lack of uniformityWhen the brightness deviation of the circular light source is greater than 15%, the consistency of detection decreases

2、 Key influencing factors and optimization methods

2.1 Core parameters for light source selection

2.2 Systematic optimization steps

Step 1: Requirements Analysis and Environmental Assessment

• Detection target analysisUse a spectrometer to measure the reflection/absorption characteristics of the target object and determine the optimal wavelength (such as choosing a blue light source for metal detection)
• ambient light detectionUsing an illuminance meter to quantify the intensity of ambient light interference, if it exceeds 500lux, a light shield needs to be installed

Step 2: Selection of Light Source Type

Step 3: Optical System Debugging

• Optimization of supplementary lighting angleUsing an adjustable bracket to achieve multi angle testing from 30 ° to 90 ° and eliminate shadows
• polarizing filterInstalling polarizing plates in metal detection can achieve a reflection suppression rate of up to 90%

3、 Supporting tools and verification system

3.1 Special debugging toolkit

3.2 Light Source Performance Verification Table (Example)

4、 Typical Enterprise Application Cases

A certain automotive parts company has improved the efficiency of its labeling machine by optimizing its light source system

1. Improved detection efficiencyThe speed of identifying engine cylinder block cracks has been reduced from 3 seconds per piece to 1.2 seconds per piece
2. Reduced misjudgment rateThe misjudgment rate of thread detection has decreased from 8.7% to 0.5%
3. Reduced maintenance costsLED light source replacement cycle extended to 18 months

5、 Development direction of cutting-edge technology

5.1 Intelligent dimming system

• Equipped with a light sensing module, real-time brightness adjustment (response time<10ms)
• Support RGBW four-color mixing to achieve dynamic spectral matching

5.2 Quantum dot light source

• Narrow band emission (full width at half maximum<20nm) to enhance sensitivity in identifying specific defects

Conclusion
The scientific design and continuous optimization of the light source system are the core competitiveness of visual labeling machines. It is recommended that enterprises establish a complete management system that includes spectral databases, equipment calibration records, and fault case libraries. For high-precision detection scenarios, third-party testing agencies can be introduced for annual light source performance certification to ensure long-term stable operation of the system.